AI Data Engineer

Resource Logistics Inc. is seeking an experienced AI Data Engineer to design, develop, and manage scalable data platforms. The ideal candidate will build robust data pipelines, ensure data quality, and integrate AI/ML capabilities into enterprise data ecosystems.

Responsibilities:

• Design, develop, and manage scalable data platforms that enable advanced analytics, Machine Learning (ML), and Generative AI solutions
• Build robust data pipelines
• Ensure data quality
• Integrate AI/ML capabilities into enterprise data ecosystems

Requirements:

• Python
• SQL
• PySpark
• ETL/ELT development
• Data Modeling (Star Schema, Snowflake Schema)
• Apache Spark
• Databricks
• Airflow
• Dataflow
• Informatica
• ADF
• Synapse
• or equivalent tools
• Relational & NoSQL Databases
• Data Warehousing concepts
• REST APIs and Microservices
• Git
• CI/CD
• DevOps practices
• Machine Learning fundamentals
• Data preparation for AI models
• Vector Databases (Pinecone, ChromaDB, FAISS)
• LLM Integration (OpenAI, Clienture OpenAI, Gemini, Claude, etc.)
• RAG Clienthitecture
• Embeddings and Semantic SeClienth
• Prompt Engineering fundamentals
• Retail domain experience is highly preferable